Improving constrained clustering via decomposition-based multiobjective optimization with memetic elitism. - Germán González-Almagro; Alejandro Rosales-Pérez; Julián Luengo; José Ramón Cano; Salvador García 001 (GECCO, 2020)

Agglomerative Constrained Clustering Through Similarity and Distance Recalculation. - Germán González-Almagro; Juan-Luis Suárez; Julián Luengo; José Ramón Cano; Salvador García 001 (HAIS, 2020)

DILS: Constrained clustering through dual iterative local search. - Germán González-Almagro; Julián Luengo; José Ramón Cano; Salvador García 001 (Comput. Oper. Res., 2020)

Enhancing instance-level constrained clustering through differential evolution. - Germán González-Almagro; Julián Luengo; José Ramón Cano; Salvador García 001 (Appl. Soft Comput., 2021)

Decomposition-Fusion for Label Distribution Learning. - Manuel González; Germán González-Almagro; Isaac Triguero; José Ramón Cano; Salvador García 001 (Inf. Fusion, 2021)

ME-MEOA/DCC: Multiobjective constrained clustering through decomposition-based memetic elitism. - Germán González-Almagro; Alejandro Rosales-Pérez; Julián Luengo; José Ramón Cano; Salvador García 001 (Swarm Evol. Comput., 2021)

Adapting K-Means Algorithm for Pair-Wise Constrained Clustering of Imbalanced Data Streams. - Szymon Wojciechowski; Germán González-Almagro; Salvador García 001; Michal Wozniak 001 (HAIS, 2022)

Monotonic Constrained Clustering: A First Approach. - Germán González-Almagro; Pablo Sánchez Bermejo; Juan-Luis Suárez; José Ramón Cano; Salvador García 001 (IEA/AIE, 2022)

A Preliminary Approach for using Metric Learning in Monotonic Classification. - Juan-Luis Suárez; Germán González-Almagro; Salvador García 001; Francisco Herrera (IEA/AIE, 2022)

3SHACC: Three stages hybrid agglomerative constrained clustering. - Germán González-Almagro; Juan-Luis Suárez; Julián Luengo; José Ramón Cano; Salvador García 001 (Neurocomputing, 2022)

Multimodal pedestrian detection using metaheuristics with deep convolutional neural network in crowded scenes. - Deepak Kumar Jain 001; Xudong Zhao; Germán González-Almagro; Chenquan Gan; Ketan Kotecha (Inf. Fusion, 2023)

Semi-supervised clustering with two types of background knowledge: Fusing pairwise constraints and monotonicity constraints. - Germán González-Almagro; Pablo Sánchez Bermejo; Juan-Luis Suárez; José Ramón Cano; Salvador García 001 (Inf. Fusion, 2024)

Metric learning for monotonic classification: turning the space up to the limits of monotonicity. - Juan-Luis Suárez; Germán González-Almagro; Salvador García 001; Francisco Herrera (Appl. Intell., 2024)

Semi-supervised constrained clustering: an in-depth overview, ranked taxonomy and future research directions. - Germán González-Almagro; Daniel Peralta; Eli De Poorter; José Ramón Cano; Salvador García 001 (Artif. Intell. Rev., 2025)